|Course or Certification Name||Category||Location||Mode of learning|
|Simplilearn Data Scientist Master's Program||Data Science||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Data Scientist Master's program||Data Science||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Become a Data Scientist||Data Science||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Data Science with R Professional||Data Science||Online self study|
|The Data Scientistâ€™s Toolbox||Data Science||Online self study|
|Introduction to Data Science using PythonÂ||Data Science||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Data Science Architect Master's Course in Association with IBM||Data Science||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|PG Diploma in Data Science (Classroom) - India's Most comprehensive & Affordable program||Data Science||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Big Data andÂ the Environment||Big Data||Offline self study|
|Big Data Hadoop Architect Masters Program||Hadoop Administration||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Data Science and Machine Learning Bootcamp with R||Data Science||Online self study|
|AI Workflow: Business Priorities and Data Ingestion||Data Science||Online self study|
|Vskills Certified Big Data and Apache Hadoop Developer Government Certification||Big Data||Offline self study|
|Data Science||Data Science||Online self study|
|Machine Learning A-Z: Hands-On Python & R In Data Science||Machine Learning||Online self study|
This Master's Program provides training in the skills required to become a certified data scientist. You'll learn the most in-demand technologies such as Data Science on R, SAS, Python, Big Data on Hadoop and implement concepts such as data exploration, regression models, hypothesis testing, Hadoop, and Spark.
Designed keeping in mind the needs of the new demand for strong analytics professionals, Data Scientist Masters program is equipped with all the conceptual and technical knowledge required in the analytics industry. This course also renders access to elearning content, resources, simulation exams and things that make certain the path to nurture your dream position of data scientist. Not only you gain strong analytic skill but business analytics and most in demand technologies like Python, R and SAS. Data scientist jobs are in great demand and perfect field for career.
Youâ€™ll master the skills necessary to become a successful Data Scientist. Youâ€™ll work on projects designed by industry experts, and learn to run data pipelines, design experiments, build recommendation systems, and deploy solutions to the cloud. | If you already have experience with machine learning, take this program.
Data Science is an inter-disciplinary filed that uses scientific methods, processes and systems to extract useful insights from data. R is an open-source programming language used in data science for statistical computing and graphics. | This Certified Data Science with R Professional course has been specifically designed for candidates to get the requisite skills and knowledge to work as data scientists | It also provides the necessary training to the candidates to have working experience in R as per the requirements for data analysis and statistical computing | The course has been developed by expert professionals and has quality online learning modules | It offers candidates a course-completion certification, accepted globally
In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, GitHub, R, and RStudio.
This course will the first data science course in a series of courses. Consider this course as a 101 level course, where I don't go too much deep into any particular statistical area, but rather just cover enough to raise your curiosity in the field of Data Science and Analytics.
Our Data Science Architect master's course lets you gain proficiency in Data Science. You will work on real-world projects in Data Science with R, Apache Spark, Scala, Deep Learning, Tableau, Data Science with SAS, SQL, MongoDB and more. In this program, you will cover 12 courses and 48 industry-based projects with 1 CAPSTONE project. As a part of online classroom training, you will receive five additional self-paced courses co-created with IBM namely Deep Learning with TensorFlow, Build Chatbots with Watson Assistant, R for Data Science, Spark MLlIb, and Python for Data Science. Moreover, you will also get an exclusive access to IBM Watson Cloud Lab for Chatbots course.
IMS Proschool offers a comprehensive and yet affordable program in Data Science. The program has an employment-oriented approach and is based on a detailed research of companiesâ€™ requirements. It prepares Students for roles like Business Analyst, Data Analyst and Data Scientist and is available in full time and part time modes. | Data Analytics is the science of analyzing data to find out patterns that will be helpful in developing strategies. Its usage can be found in almost every industry. Following is an indicative list of roles you can play in the analytics industry - Data engineers, Data analysts, Data Scientists, Business Analysts, Machine Learning Developers & BIG Data Analysts
This course is aimed at professionals seeking a better understanding of environmental big data and the potential these offer to address key questions and underpin novel solutions for business.It is also relevant to anyone studying environmental topics with a general interest in big data analytics and the complexities and issues surrounding the collection, curation and application of these vast data sets.
Big Data Hadoop Architect Program is a certification course that would help you build strong skill set in areas like Hadoop Development, Real time processing using Spark, and NoSQL database technology and transform you into a Hadoop Architect Expert. You would also be gain practical experience by implementing real life industry projects in the required Hadoop technologies.
Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems! This course is designed for both complete beginners with no programming experience or experienced developers looking to make the jump to Data Science! This comprehensive course is comparable to other Data Science bootcamps that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost! With over 100 HD video lectures and detailed code notebooks for every lecture this is one of the most comprehensive course for data science and machine learning on Udemy! We'll teach you how to program with R, how to create amazing data visualizations, and how to use Machine Learning with R! Here a just a few of the topics we will be learning: Programming with RAdvanced R FeaturesUsing R Data Frames to solve complex tasksUse R to handle Excel FilesWeb scraping with RConnect R to SQLUse ggplot2 for data visualizationsUse plotly for interactive visualizationsMachine Learning with R, including:Linear RegressionK Nearest NeighborsK Means ClusteringDecision TreesRandom ForestsData Mining TwitterNeural Nets and Deep LearningSupport Vectore Machinesand much, much more! Enroll in the course and become a data scientist today!
This is the first course of a six part specialization. You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones | This first course in the IBM AI Enterprise Workflow Certification specialization introduces you to the scope of the specialization and prerequisites. Specifically, the courses in this specialization are meant for practicing data scientists who are knowledgeable about probability, statistics, linear algebra, and Python tooling for data science and machine learning. A hypothetical streaming media company will be introduced as your new client. You will be introduced to the concept of design thinking, IBMs framework for organizing large enterprise AI projects. You will also be introduced to the basics of scientific thinking, because the quality that distinguishes a seasoned data scientist from a beginner is creative, scientific thinking. Finally you will start your work for the hypothetical media company by understanding the data they have, and by building a data ingestion pipeline using Python and Jupyter notebooks.
Big Data extremely large data sets that may be analysed computationally to reveal patterns, trends, and associations. Apache Hadoop is an open source software platform which was born out of the need to process and handle Big Data. A Hadoop Developer has the same role as that of a software developer but the former has also analytical and problem solving skills associated with the Big Data domain. Vskills Certified Big Data and Apache Hadoop Developer course offers extensive training to the candidates on essential skills required to become a successful Hadoop Developer, Administrator or Data Scientist professionals in the field of Big Data. This government certification tests the candidates on various areas of Hadoop platform and Big Data. The prerequisite for taking this course is knowledge of object-oriented programming like Java.
The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people working in data science have carved out a unique and distinct field for the work they do. This field is data science. In this course, we will meet some data science practitioners and we will get an overview of what data science is today.
This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms and coding libraries in a simple way.| Part 1 - Data Preprocessing | Part 2 - Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression | Part 3 - Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification | Part 4 - Clustering: K-Means, Hierarchical Clustering | Part 5 - Association Rule Learning: Apriori, Eclat | Part 6 - Reinforcement Learning: Upper Confidence Bound, Thompson Sampling | Part 7 - Natural Language Processing: Bag-of-words model and algorithms for NLP | Part 8 - Deep Learning: Artificial Neural Networks, Convolutional Neural Networks | Part 9 - Dimensionality Reduction: PCA, LDA, Kernel PCA |Part 10 - Model Selection & Boosting: k-fold Cross Validation, Parameter Tuning, Grid Search, XGBoost